Senior Manager, Growth Marketing Technology Engineering

Role Overview

• Architect, build, and maintain end-to-end activation pipelines across authentication systems (Keycloak), cloud data warehouses (BigQuery, Snowflake), CDPs (Hightouch), and downstream platforms including Iterable, Salesforce, Pushly, Digioh, and Piano.
• Own advanced audience modeling, segmentation logic, and personalization frameworks using SQL, APIs, JSON, and event-based data.
• Ensure data freshness, accuracy, and reliability to support real-time targeting, lifecycle journeys, and behavioral triggers.
• Design and support event-driven and streaming workflows (Kafka or equivalent) to power trigger-based messaging and near-real-time activation.
• Serve as the technical authority and escalation point for complex issues involving data syncs, APIs, segmentation logic, templating failures, or platform limitations.
• Build and optimize dynamic templates using HTML/CSS and Handlebars logic to power personalized, modular communications at scale.
• Develop tooling and automation that reduces manual operational work—monitoring data health, validating segments, triggering campaigns, and logging outcomes.
• Partner with ESP and CDP vendors to test and implement new APIs, features, and integration patterns.
• Act as a technical escalation point for complex issues involving data syncs, segmentation logic, templating, or API failures.
• Act as the hands-on owner and power user of our growth and activation tooling, with deep operational expertise in: Iterable, Pushly, Digioh, Piano, Salesforce, Hightouch, Airtable.
• Build and maintain front-end messaging components using HTML, CSS, and Handlebars logic to support modular and scalable personalization.
• Develop internal tooling and automation to: Monitor data health and pipeline failures Validate audiences and segments Trigger campaigns programmatically Log outcomes and system events Maintain clean and well-documented runbooks, platform documentation, and architectural diagrams in Confluence.
• Track technical work, dependencies, and delivery using Jira, operating comfortably within agile workflows.
• Design, build, and experiment with AI-assisted and agentic workflows that automate multi-step operational and analytical tasks, such as extracting data, analyzing results, generating outputs, and distributing deliverables.
• Combine tools such as n8n, ChatGPT, Claude, Lovable, Clawdbot, and custom scripts to create: Internal team applications Operational copilots Automated reporting and QA systems.
• Leverage APIs extensively to connect AI tools with internal data systems, marketing platforms, and productivity tools.
• Continuously evaluate emerging AI tooling and frameworks to improve speed, reliability, and scale of growth operations.
• Own and build expert-level reporting and dashboarding in Looker and Looker Explore, with a strong emphasis on: Clear, intuitive visual data representations Dashboards tailored to different team functions and levels of technical fluency Reusable explores and metrics that enable self-serve analysis.
• Partner closely with Data and stakeholders to define trusted metrics, dimensions, and views that align reporting with business outcomes.
• Enable analytics workflows that support experimentation, performance measurement, and lifecycle optimization.
• Use SQL and Python to analyze engagement, conversion, retention, and operational efficiency.
• Build and maintain lightweight reporting layers using Google Sheets and Airtable for fast iteration and stakeholder visibility.
• Act as a bridge between Data, Marketing, and Growth teams by translating analytical insights into actionable activation strategies.

Requirements

• 6–8 years of experience in marketing operations, martech, or data activation roles
• Advanced SQL proficiency (required)
• Hands-on expertise with ESPs, notification systems, or CDPs (Iterable, Salesforce, Responsys, Braze, etc.)
• Hands-on experience working with APIs, JSON, and event-based data
• Working knowledge of cloud data warehouses (BigQuery, Snowflake) and data governance principles
• Working knowledge of Python for analysis, automation, or workflow orchestration
• Familiarity with streaming or near-real-time systems (Kafka or similar preferred)
• Demonstrated success improving campaign performance through technical innovation and automation
• Expert-level proficiency in Google Sheets, including advanced formulas, automation, google apps script, and connected sheets
• Expert-level proficiency in Looker to aid in building reporting dashboards
• Basic knowledge of HTML and CSS
• Basic knowledge of Handlebars templating logic
• Strong communication and collaboration skills across technical and non-technical partners

Tech Stack

• BigQuery
• Cloud
• Kafka
• Python
• SQL

Benefits

• medical, dental, vision, prescription drug coverage
• unlimited paid time off (PTO)
• adoption or surrogate assistance
• donation matching
• tuition reimbursement
• basic life insurance
• basic accidental death & dismemberment
• supplemental life insurance
• supplemental accident insurance
• commuter benefits
• short term and long term disability
• health savings and flexible spending accounts
• family care benefits
• a generous 401K savings plan with a company match program
• 10-12 paid holidays annually
• generous paid parental leave (birthing and non-birthing parents)
• voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance